cocons-package | Covariate-based Covariance Functions for Nonstationary Gaussian Processes |
coco | Creates a coco S4 object |
coco-class | An S4 class to store information |
cocons | Covariate-based Covariance Functions for Nonstationary Gaussian Processes |
cocoOptim | Optimizer for coco objects |
cocoPredict | Prediction for coco objects |
cocoSim | Marginal and conditional simulation of nonstationary Gaussian processes |
cov_rns | Dense covariance function (difference parameterization) |
cov_rns_classic | Dense covariance function (classic parameterization) |
cov_rns_pred | Dense covariance function |
cov_rns_taper | Sparse covariance function |
cov_rns_taper_pred | Sparse covariance function |
getAIC | Retrieve AIC |
getBIC | Retrieve BIC |
getBoundaries | Simple build of boundaries |
getBoundariesV2 | Simple build of boundaries (v2) |
getBoundariesV3 | Simple build of boundaries (v3) |
getCIs | Compute approximate confidence intervals for a coco object |
getCovMatrix | Covariance matrix for "coco" class |
getCRPS | Based on a set of predictions computes the Continuous Ranked Probability Score |
getDensityFromDelta | Based on a specific taper scale (delta), retrieves the density of the covariance matrix. |
getDesignMatrix | Create an efficient design matrix based on a list of aspect models |
getEstims | Retrieve estimates from a fitted coco object |
getHessian | getHessian |
getLoglik | Retrieve the loglikelihood value |
getLogScore | Based on a set of predictions computes the Log-Score |
getModelLists | Builds the necessary input for building covariance matrices |
getModHess | Retrieves the modified inverse of the hessian |
GetNeg2loglikelihood | GetNeg2loglikelihood |
GetNeg2loglikelihoodProfile | GetNeg2loglikelihoodProfile |
GetNeg2loglikelihoodREML | GetNeg2loglikelihoodREML |
GetNeg2loglikelihoodTaper | GetNeg2loglikelihoodTaper |
GetNeg2loglikelihoodTaperProfile | GetNeg2loglikelihoodTaperProfile |
getScale | Fast and simple standardization for the design matrix. |
getSpatEffects | Evaluates the spatially-varying functions from a coco object at locs |
getSpatMean | Computes the spatial mean of a (fitted) coco object |
holes | Holes Data Set |
holes_bm | Holes with trend + multiple realizations Data Set |
is.formula | check whether an R object is a formula |
plot-method | Plot Method for coco objects |
plotOptimInfo | Plot log info detailed |
stripes | Stripes Data Set |
summary | Summary Method for Coco Class |
summary-method | Summary Method for Coco Class |